Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- University of Cambridge
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- University of London
- University of Nottingham
- King's College London
- Durham University
- Nature Careers
- University of Birmingham
- The University of Southampton
- AALTO UNIVERSITY
- CRANFIELD UNIVERSITY
- UNIVERSITY OF VIENNA
- Heriot Watt University
- Imperial College London
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Manchester
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Glasgow
- University of Leeds
- University of Newcastle
- University of Sheffield
- ; The Francis Crick Institute
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- QUEENS UNIVERSITY BELFAST
- Sheffield Hallam University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Bath
- University of Liverpool
- University of Surrey
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Copenhagen
- ; University of Kent
- ; University of Oxford
- Birmingham City University
- Brunel University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- Cranfield University
- London School of Economics and Political Science;
- Medical Research Council
- Royal College of Art
- Sheffield Hallam University;
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Greenwich
- University of Hull
- University of Leicester
- University of West London
- 46 more »
- « less
-
Field
-
and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co-produce new knowledge, contribute to public understanding
-
factors underlying this condition. The project will involve analyzing genetic data from a large cohort of sudden death victims and conducting prospective family screening to identify family members at risk
-
of surface chemistry, and photoelectrocatalysis. The project takes place in a large and vibrant interdisciplinary research group and will provide you with space and resources for your personal career and
-
technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
-
very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
-
One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
-
quantitative data analyses. The role involves co-ordinating a large study and liaising with clinical participants, so the ideal candidate would have exceptional interpersonal and organisational skills. Further
-
microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
-
Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
-
work involving sensor hardware or un-intrusive methods and be comfortable with handling large amounts of personal and sensitive data. The role requires you to collaborate across disciplines and to work